Photos | Crowd Gathers for Tent Performance
David V and his baseball cap steal the show as a group of urbanites gather for a night-time concert in a sheltered tent. Amidst the sea of accessories and clothing, a woman stands out with her necklace and wristwatch while a man holds a microphone for the performance. The architecture of the building adds to the night life vibe of the event.
BLIP-2 Description:
a group of people standing around a man in a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture rewind bracelet headgear necklace urban building pub baseball portrait cap outdoors microphone wristwatch hat baseball cap party city old fun club shirt junglescene glasses audience electrical life nature rekognition_c jewelry accessories night david lighting device photography concert crowd shelter
Detected Text
date
2002-11-17T14:29:28-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(14.54%)
curation
(65.25%)
highlight visibility
(5.52%)
behavioral
(70.55%)
failure
(-1.15%)
harmonious color
(0.18%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-57.08%)
intrusive object presence
(-18.07%)
lively color
(-0.63%)
low light
(99.80%)
noise
(-11.96%)
pleasant camera tilt
(-11.66%)
pleasant composition
(-90.09%)
pleasant lighting
(-72.46%)
pleasant pattern
(2.98%)
pleasant perspective
(-17.70%)
pleasant post processing
(2.06%)
pleasant reflection
(1.65%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.07%)
tastefully blurred
(-19.69%)
well chosen subject
(-25.05%)
well framed subject
(-69.14%)
well timed shot
(-15.76%)
all
(-14.51%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.